Abstract
Problem: Medical image segmentation (in MRI and CT modalities) aims to delineate the human body's anatomical structures in a precise way to allow quantitative analysis in the diagnosis and treatment of diseases. Appearance/shape models of theses structures may be learned and applied to segment new images automatically. However, when automatic segmentation fails these methods rarely provid…